Need for knowledge-based subsystem in evoked potential neural-net recognition system
Ivan Brůha, Guruprasad Madhavan · 2003
A decision-support system for neurological diagnoses is described. The evoked-potential waveforms are analyzed by a syntax pattern recognition algorithm that returns a list of numerical features. The second processing step includes a neural net (two-layer perception) that processes the list of numerical features. Methods of incorporating a knowledge-based subsystem in the evoked-potential recognition system in order to obtain more reliable results are analyzed.>